Advanced Photovoltaic Technologies and Intelligent Integration in Solar Photovoltaic and Photovoltaic–Thermal Systems: A Materials Innovation Perspective
先進的光起電力技術と太陽光発電・太陽光熱システムにおける知的統合：材料革新の視点から (AI 翻訳)
Ervina Efzan Mhd Noor, Wan Nor Hanani Wan Mohd Nadzmi, Mirza Farrukh Baig
🤖 gxceed AI 要約
日本語
本レビューは、ペロブスカイトタンデムセル、N型TOPCon、両面受光型、HJT、PVTシステムなどの次世代PV材料と、AI対応インバータや適応型MPPTなどの知的制御戦略を包括的に検討。製造の複雑さや材料安定性といった課題を指摘しつつ、長期的な性能向上とLCOE低減を実証。多様な気候への展開可能性を示し、低炭素エネルギー基盤への移行を支援する。
English
This review systematically examines next-generation PV materials (perovskite tandem, N-type TOPCon, bifacial, HJT, PVT) and intelligent control strategies (AI-enabled inverters, adaptive MPPT). It highlights challenges like manufacturing complexity and material stability while demonstrating superior long-term performance and reduced LCOE. The paper supports the global transition to low-carbon energy infrastructure.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本は太陽光発電の導入拡大を進めており、本レビューで扱われる高効率PV技術やAI制御は、FIT終了後の自立化や系統安定化に寄与する可能性が高い。特に、N型TOPConやペロブスカイトは国内メーカーの開発競争領域であり、実用化に向けた知見を提供する。
In the global GX context
Globally, this review provides a comprehensive overview of advanced PV technologies and AI integration, supporting energy transition targets under Paris Agreement. It offers insights for improving solar farm efficiency and grid integration, relevant to ISSB-aligned climate strategies and renewable energy procurement.
👥 読者別の含意
🔬研究者:Provides a structured review of material and system-level innovations in PV, identifying research gaps in stability and AI data quality.
🏢実務担当者:Offers insights into selecting advanced PV technologies and AI-driven O&M strategies for improved LCOE and reliability.
🏛政策担当者:Highlights the potential of next-gen PV for grid modernization and policy support for manufacturing scale-up.
📄 Abstract（原文）
The rapid advancement of photovoltaic (PV) technologies has transformed solar energy systems into intelligent, high-efficiency platforms. This review systematically examines next-generation PV materials, hybrid system architectures, and intelligent control strategies. Key technologies include perovskite-based tandem cells, N-type TOPCon, bifacial, heterojunction (HJT), and photovoltaic-thermal (PVT) systems. These innovations overcome the intrinsic limitations of conventional P-type silicon panels by reducing recombination losses, mitigating light- and temperature-induced degradation, and enhancing energy yield under real-world operating conditions. At the system level, AI-enabled inverters, adaptive maximum power point tracking (MPPT), predictive maintenance, and real-time grid interaction enable dynamic optimization under variable irradiance, thermal stress, and load fluctuations. A critical comparison across diverse deployment environments highlights current challenges, including manufacturing complexity, material stability, and AI data-quality limitations. Despite higher upfront costs and system complexity, these advanced PV systems offer superior long-term performance, improved reliability, and reduced levelized cost of electricity through lower degradation rates and enhanced operational resilience. Collectively, intelligent, material-optimized PV technologies represent a scalable, sustainable, and grid-compatible solution for solar energy deployment across diverse climates, supporting the global transition toward low-carbon energy infrastructures.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/en19102441first seen 2026-06-07 04:35:26
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